Who we are

We come from countries around the world to form a community of humans focused on the responsible development of AI. At MIT and IBM Research, we share a “mind and hand” commitment to the scientific method grounded in the practical pursuit of solving the world’s biggest problems.

The team at IBM Research Cambridge in Kendall Square.

Leadership

The MIT-IBM Watson AI Lab is lead by MIT chair and School of Engineering Dean Anantha Chandrakasan; Dario Gil, IBM chair, IBM Senior Vice President, and Director of Research; and MIT co-chair and MIT Stephen A. Schwarzman College of Computing Dean Dan Huttenlocher. David Cox of IBM Research and Aude Oliva of MIT co-direct the Lab. Each of our projects is jointly proposed and executed by IBM researchers and MIT faculty members. The MIT-IBM steering committee is composed of co-chairs David Cox and Aude Oliva, head of AI+D in the MIT Schwarzman College of Computing Antonio Torralba, Jerry McAfee Professor in Engineering at MIT Elsa A. Olivetti, Director of IBM Research Cambridge Lisa Amini, and Vice President of IBM Research Exploratory Science Jeff Welser.

Aude Oliva photo

Aude Oliva is the MIT director of the MIT–IBM Watson AI Lab, director of strategic industry engagement in the MIT Schwarzman College of Computing, and a senior research scientist at MIT CSAIL, working on natural and artificial intelligence .

David Cox

David Cox is the IBM director the MIT-IBM Watson AI Lab and the VP for AI Models at IBM Research. Formerly a Harvard professor, he is a computational neuroscientist prioritizing the Lab’s work in neuro-symbolic AI and other key areas while leading the Lab’s IBM team in Cambridge, MA.

Anantha P. Chandrakasan

Anantha Chandrakasan is the dean of the MIT School of Engineering, the Vannevar Bush Professor of Electrical Engineering and Computer Science, and the MIT chair of the MIT-IBM Watson AI Lab. His research focuses on making electronic circuits more energy efficient.

Dario Gil

Dario Gil is the IBM chair of the MIT-IBM Watson AI Lab, IBM Senior Vice President, and Director of Research. He received his PhD in electrical engineering and computer science from MIT and now leads IBM’s research strategies in Quantum, AI, Security, and other key areas.

Daniel Huttenlocher

Daniel Huttenlocher is the dean of the MIT Schwarzman College of Computing, Henry Ellis Warren (1894) Professor of Electrical Engineering and Computer Science, and MIT co-chair of the MIT-IBM Watson AI Lab. He is recognized for his work in computer vision, social media, and understanding AI.

AI Safety

Mengjia Yan

Automated Planning

Michael Katz Masataro Asai

Autonomous Systems

Jonathan How

Computational Design

Faez Ahmed

Computational Social Science

Manish Raghavan Dean Eckles

Computational neuroscience

Nancy Kanwisher

Cryptography

Vinod Vaikuntanathan

Cybersecurity

Ian Molloy Daniel Weitzner

Explainability

Hendrik Strobelt

Generative Models

Phillip Isola

High Performance Computing

Steven Johnson

Human-Computer Interaction

Arvind Satyanarayan

Information Theory

Yury Polyanskiy

Knowledge Representation

Veronika Thost

Medical Image Analysis

Polina Golland

Multi-agent Systems

Asu Ozdaglar

Multimodal Learning

Youssef Mroueh

Neural Symbolic Systems

Brian Williams

Reinforcement Learning

Pulkit Agrawal

Statistics

Devavrat Shah

Sustainability

Sherrie Wang

Transfer Learning

Prasanna Sattigeri